Due to the combined effects of different acoustic propagation, reflection patterns in different
time-scale, time-varying underwater acoustic (UWA) channel generally exhibits hybrid …

In this paper, we analyze the performance guarantee of the orthogonal least squares (OLS)
algorithm expressed in terms of the restricted isometry property (RIP). We show the …

In this paper, we put forth a new joint sparse recovery algorithm called signal space
matching pursuit (SSMP). The key idea of the proposed SSMP algorithm is to sequentially …

Recovery guarantee analyses of the tail-minimization approach applied to multiple
measurement vector (MMV) model are presented. Exact joint sparse recovery from the MMV …

Recent studies of the direction-of-arrival (DOA) estimation reveal that the methods based on
sparse Bayesian learning (SBL) exhibit many advantages over conventional approaches …

A horizontal towed linear coherent hydrophone array is often employed to estimate the
spatial intensity distribution of incident plane waves scattered from the geological and …

Sparse signal recoveries from multiple measurement vectors (MMV) with joint sparsity
property have many applications in signal, image, and video processing. The problem …

With the rapid development of multimedia technology, it is very important to improve the
accuracy of sparse signal reconstruction for image or speech based on compressed sensing …

The tail-minimization approach is applied to the joint sparse multiple measurement vector
(MMV) model and direction of arrival (DOA) estimations. The mechanism is to estimate the …

As the demand for wireless communication continues to surge, spectrum congestion
becomes more severe. Compressive spectrum sensing with joint frequency and Direction Of …